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All are Worth Words: a ViT Backbone for Score-based Diffusion Models


Sep 25, 2022
Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu


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Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models


Aug 30, 2022
Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li


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EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations


Jul 14, 2022
Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu


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Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching


Jun 27, 2022
Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

* Accepted in ICML 2022 

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Fast Lossless Neural Compression with Integer-Only Discrete Flows


Jun 17, 2022
Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang

* Accepted as a conference paper at International Conference on Machine Learning (ICML) 2022 

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Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models


Jun 15, 2022
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

* Accepted in ICML 2022 

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DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps


Jun 02, 2022
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu


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Memory Replay with Data Compression for Continual Learning


Mar 09, 2022
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu

* ICLR 2022 
* arXiv admin note: text overlap with arXiv:1207.6083 by other authors 

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